An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications
In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques,...
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MDPI AG
2021
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oai:doaj.org-article:3651fa99cf644ca7a913aab6e6f9c8c02021-11-25T18:58:00ZAn Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications10.3390/s212276131424-8220https://doaj.org/article/3651fa99cf644ca7a913aab6e6f9c8c02021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7613https://doaj.org/toc/1424-8220In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data.Dominik WidhalmKarl M. GoeschkaWolfgang KastnerMDPI AGarticlesensor nodefault diagnosisnode-levelenergy-efficiencywireless sensor networkChemical technologyTP1-1185ENSensors, Vol 21, Iss 7613, p 7613 (2021) |
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sensor node fault diagnosis node-level energy-efficiency wireless sensor network Chemical technology TP1-1185 |
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sensor node fault diagnosis node-level energy-efficiency wireless sensor network Chemical technology TP1-1185 Dominik Widhalm Karl M. Goeschka Wolfgang Kastner An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications |
description |
In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data. |
format |
article |
author |
Dominik Widhalm Karl M. Goeschka Wolfgang Kastner |
author_facet |
Dominik Widhalm Karl M. Goeschka Wolfgang Kastner |
author_sort |
Dominik Widhalm |
title |
An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications |
title_short |
An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications |
title_full |
An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications |
title_fullStr |
An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications |
title_full_unstemmed |
An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications |
title_sort |
open-source wireless sensor node platform with active node-level reliability for monitoring applications |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/3651fa99cf644ca7a913aab6e6f9c8c0 |
work_keys_str_mv |
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